IWSSS ’18: 3rd International Workshop on Smart Sensing Systems |
Website | http://iwsss2018.puc.pu-toyama.ac.jp/ |
Submission link | https://easychair.org/conferences/?conf=iwsss18 |
Submission deadline | March 15, 2018 |
During the past years, sensing technologies have become an important field for computer science and technologies as seen in the trend of cyber physical system (CPS), machine-to-machine (M2M) systems, and the Internet of Things (IoT). Researchers in sensing technologies provide technological means to capture environmental, technical, physiological and other data. They provide the raw material on which applications and services will be built. Sensor data are the basis for the smart world. Due to various characteristics of sensor data and their corresponding processing requirements, such as multisource, heterogeneous, real-time, volumnous, continuous, streaming, ever-expanding and spatio-temporal, many traditional data processing and integration approaches begin to show their limitations, particularly when dealing with situations like sensor data and its application deluge.
Streaming data analysis, knowledge extraction (data mining, machine learning) and complex event processing are required to treat and preprocess these data, to detect correlations in data and to discover patterns or abnormalities in dynamically evolving situations. Data files as well as data streams need to be treated, variety of representation are used depending on the Web-based systems and the means for handling, storing and accessing this information to make valuable decisions need to be studied.
Semantic web technologies have provided particle means to this aim. Social applications, and ubiquitous and pervasive computing are examples of areas making use of semantised sensed or processed data. Semantisation, privacy, trust, context awareness, community management, and data visualization are the core issues related to this area. We aim to find bring together topics from several layers of data processing; from devices to services to enable novel ideas and collaboration combining the information from multiple sources.
The workshop intends to provide a forum for exchange of experience among researchers from industry and academia actively involved in research, development and evaluation of new concepts, theoretical methods and experimental characterization and for debating different innovative solutions. Practitioners involved in applications domains are also welcome to present their tasks and to participate these discussions. The workshop will feature a selective technical program consisting of regular research papers as well position talks.
We invite authors to submit original research as well as review articles, posters and demos to present latest progresses, determine future goals, and show techniques for future development in the field.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Web intelligence
Architectures for sensor data management in smart cities Semantic reasoning in sensor networks
Semantic sensor context management and provenance Ontology Based Sensory Semantic Knowledge
Semantic sensor networks (SSN), semantic sensor web Semantic Modelling and Annotations of Sensor Data Mashup technologies for the Semantic Sensor Web Crowdsourcing
Collective Intelligence
Natural Interfaces
Ambient Intelligence
Social Computing Situation-Awareness/Context Streaming Sensor Data Analytics Knowledge discovery
Machine learning
Complex Event Processing (CEP) Agent-based systems, Services, Security
Smart Sensing
Sensing Devices
Context-aware sensing
Compressive Sensing
Communication Protocols for Smart Sensing
Dependability of Smart Sensing Systems Virtualization of Sensing Systems
Human Probes
Middleware for Smart Sensing
Cloud computing for sensor data processing
Sensor Data Fusion
Sensor Device/Data Interoperability
Signal Processing for Sensor Data
Participatory Sensing
Urban Sensing
Large Scale Data Collection
Prototypes/Testbeds/Field Studies of Smart Sensing Systems
Performance Evaluations of Smart Sensing Systems, etc.
Utilization of Drones/UAVs for Sensing
Applications
Combining smart sensing and web intelligence techniques
Smart sensing applications for smart cities
Smart sensing for social infrastructure including bridges and roads
Smart sensor networks for water management
Committees
Program Committee
Bert-Jan Van Beijnum, University of Twente, Netherlands
Edward Curry, Digital Enterprise Research Institute, Ireland
Yoshito Tobe, Aoyama Gakuin University, Japan
Hideyuki Kawashima, University of Tsukuba, Japan
Manfred Meyer, University of Applied Sciences, Germany
Martin Alexander Neumann, Karlsruhe Institute of Technology, Germany
Rajendra Akerkar, Western Norway Research Institute, Norway
Simon Mayer, ETH Zurich, Switzerland
Guillaume Lopez, Aoyama Gakuin University, Japan
Stephan Sigg, National Institute of Informatics, Japan
Takuro Yonezawa, Keio University, Japan
Xiaolong Zheng, Tsinghua University, Beijing, P.R. China.
Yasuhiro Kawahara, The Open University of Japan
Organizing committee
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Takeshi Iwamoto, Toyama Prefectural University, Japan
- Susanna Pirttikangas, University of Oulu, Finland
- Kamal Singh, Telecom Saint Étienne / University of Jean Monnet, France
Contact
All questions about submissions should be emailed to the organizers.